A Machine-Learning Pipeline for Large-Scale Power-Quality Forecasting in the Mexican Distribution Grid

A Machine-Learning Pipeline for Large-Scale Power-Quality Forecasting in the Mexican Distribution Grid

Electric power distribution networks face increasing factors for power-quality (PQ) deterioration, such as distributed, renewable-energy generation units and countless high-end electronic devices loaded as controllers or in standalone mode. Consequently, government regulations are issued worldwide t...

Full description

Bibliographic Details
Main Authors: Juan J. Flores, Jose L. Garcia-Nava, Jose R. Cedeno Gonzalez, Victor M. Tellez, Felix Calderon, Arturo Medrano
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
steady-state power quality indices
time-series forecasting
machine learning
artificial neural networks
Online Access:https://www.mdpi.com/2076-3417/12/17/8423

Internet

https://www.mdpi.com/2076-3417/12/17/8423

Similar Items